Table 4.
Demographic predictors of being a perpetrator of online hate.
| Factor | B | p-Value | OR | 95% CI for OR | |
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Constant | −3.807 | <0.001 | |||
| Being Cypriot 1 | −0.906 | 0.007 | 0.404 | 0.209 | 0.780 |
| Being Greek 1 | −0.184 | 0.250 | 0.832 | 0.608 | 1.138 |
| Being Indian 1 | 0.240 | <0.050 | 1.271 | 1.000 | 1.614 |
| Being South Korean 1 | −1.100 | <0.001 | 0.333 | 0.225 | 0.493 |
| Being Spanish 1 | −0.409 | 0.005 | 0.664 | 0.500 | 0.882 |
| Being Thai 1 | 1.235 | <0.001 | 3.439 | 2.706 | 4.370 |
| Being American 1 | 0.946 | <0.001 | 2.575 | 2.037 | 3.255 |
| Age | 0.072 | 0.002 | 1.075 | 1.026 | 1.126 |
| Being male 2 | 0.465 | <0.001 | 1.592 | 1.378 | 1.840 |
Note: 1 Reference category: being German; 2 reference category: being female. The online hate variable was dichotomized (never = no; very rarely–very frequently = yes).